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Deep learning for efficient selection of measurement pixels in multi-temporal InSAR processing

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Deep_learning_for_efficient_selection_of_measurement_pixels_in_multi-temporal_InSAR_processing/23478236
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This dataset is an example dataset generated for training the convolutional long short memory network proposed by Tiwari et al. (2021) for measurement pixel selection in MT-InSAR processing. The dataset is generated by processing Sentinel-1 C-band SAR images (frames 79 and 84 of path 48) of the United States east coast from multi-temporal InSAR processing using the WabInSAR software developed by Shirzaei, M (2013).  The file ph_im.mat contains time series of interforgrams generated from WabInSAR software v5.3. The dimension is w*h*n, where w=width, h=height and n=number of SAR interferograms The file elpx.mat contains pixel locations in image and list forms for the selected measurement points after the pixel selection step.
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2023-06-12
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